Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation
Review-based recommender systems explore semantic aspects of users' preferences by
incorporating user-generated reviews into rating-based models. Recent works have …
incorporating user-generated reviews into rating-based models. Recent works have …
Enhanced Hierarchical Contrastive Learning for Recommendation
Designed to establish potential relations and distill high-order representations, graph-based
recommendation systems continue to reveal promising results by jointly modeling ratings …
recommendation systems continue to reveal promising results by jointly modeling ratings …
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion
Rating is a typical user explicit feedback that visually reflects how much a user likes a
related item. The (rating) matrix completion is essentially a rating prediction process, which …
related item. The (rating) matrix completion is essentially a rating prediction process, which …
Hierarchical Graph Contrastive Learning for Review-Enhanced Recommendation
In comparison to numerical ratings and implicit feedback, textual reviews offer a deeper
understanding of user preferences and item attributes. Recent research underscores the …
understanding of user preferences and item attributes. Recent research underscores the …
ICCVAE: Item Concept Causal Variational Auto-Encoder for top-n recommendation
J Feng, Q Wang, Z Huang… - 2023 8th International …, 2023 - ieeexplore.ieee.org
Recently, recommendation systems, especially interpretable ones, have become
increasingly popular. The recommendation system provides personalized recommendations …
increasingly popular. The recommendation system provides personalized recommendations …